Job Flow Management via Attribute-Based Grouping and Visual Transition Display
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Solution Overview
Problem
Existing job management systems face challenges in simplifying the monitoring and management of job flows, especially in environments with large numbers of jobs, due to complex sequence and dependency relationships, and difficulties in understanding transition relationships between jobs across consolidated servers.
Innovation Solution
An apparatus that classifies jobs based on attribute information and transition relationships, creating job-execution-schedule display information to show transition relationships and execution intervals, facilitating the grouping and monitoring of job flows across different groups.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If servers are consolidated and virtualized to collect and manage from one location, then management efficiency is improved, but the number of operation management tasks to be monitored and managed by one operation administrator increases
Solution Approach 1:
The patent segments operation management tasks into multiple groups based on attributes such as job type, execution time, and priority. This segmentation allows operation administrators to monitor and manage tasks in organized groups rather than as a single large set, reducing the perceived complexity while maintaining consolidation benefits
Solution Approach 2:
The patent introduces a graphical user interface that displays operation management tasks in a two-dimensional space with visual indicators for task status, progress, and relationships. This dimensional transformation from flat task lists to spatial visualizations helps administrators comprehend and manage larger numbers of tasks more effectively
2Reliability
If the number of operation management tasks increases due to server consolidation, then comprehensive monitoring capability is improved, but the difficulty of monitoring and managing tasks increases
Solution Approach 1:
The patent uses color-coded visual indicators to represent different task statuses, priorities, and groupings. This color-coding system enables operation administrators to quickly comprehend task states and identify issues at a glance, making comprehensive monitoring of increased task numbers more manageable
Solution Approach 2:
The patent introduces a graphical user interface as an intermediary between the consolidated server system and the operation administrator. This interface mediates the complexity by providing visual abstractions, filtering, and organized presentation of task information, reducing the cognitive load on administrators
3Loss of information
If job flows are managed without classification, then complete job execution information is available, but understanding transition relationships between jobs becomes difficult
Solution Approach 1:
The patent classifies jobs into multiple groups based on attributes such as job type, execution time, and priority. This classification segments the complete job execution information into organized categories, making transition relationships between jobs more understandable while preserving all execution details
Solution Approach 2:
The patent displays job execution information in a graphical interface that adds spatial and visual dimensions to the data. This transformation from tabular data to visual representations with spatial relationships helps administrators understand job transitions and dependencies more easily while maintaining complete information
Data Source
AI summary
An apparatus manages job flows in an information processing system. In response to a request from a monitoring terminal, the apparatus creates, based on attribute information of jobs included in job flows to be managed, classification information in which the jobs are classified by attributes thereof. The apparatus groups the jobs into groups according to the attribute information by using the classification information and information on transition relationships between the jobs, and creates job-execution-schedule display information with which a transition relationship between a first job and a second job subsequent to the first job is displayed when the first and second jobs belong to different groups, and with which an execution interval of jobs in each group is displayed in association with that of jobs in another group, based on the number of jobs that have been sequentially executed from a starting job to each job in a job flow.